Overview

Dataset statistics

Number of variables19
Number of observations45376
Missing cells26256
Missing cells (%)3.0%
Duplicate rows16
Duplicate rows (%)< 0.1%
Total size in memory6.9 MiB
Average record size in memory160.0 B

Variable types

Categorical10
Numeric8
DateTime1

Alerts

Dataset has 16 (< 0.1%) duplicate rowsDuplicates
belongs_to_collection has a high cardinality: 1079 distinct valuesHigh cardinality
genres has a high cardinality: 4065 distinct valuesHigh cardinality
original_language has a high cardinality: 89 distinct valuesHigh cardinality
overview has a high cardinality: 44232 distinct valuesHigh cardinality
production_companies has a high cardinality: 22247 distinct valuesHigh cardinality
production_countries has a high cardinality: 2384 distinct valuesHigh cardinality
spoken_languages has a high cardinality: 1828 distinct valuesHigh cardinality
tagline has a high cardinality: 20269 distinct valuesHigh cardinality
title has a high cardinality: 42196 distinct valuesHigh cardinality
budget is highly overall correlated with revenue and 1 other fieldsHigh correlation
revenue is highly overall correlated with budget and 1 other fieldsHigh correlation
return is highly overall correlated with budget and 1 other fieldsHigh correlation
belongs_to_collection is highly imbalanced (89.6%)Imbalance
original_language is highly imbalanced (67.4%)Imbalance
production_countries is highly imbalanced (58.4%)Imbalance
spoken_languages is highly imbalanced (61.4%)Imbalance
status is highly imbalanced (97.0%)Imbalance
overview has 941 (2.1%) missing valuesMissing
tagline has 24978 (55.0%) missing valuesMissing
popularity is highly skewed (γ1 = 29.21506573)Skewed
return is highly skewed (γ1 = 138.3295261)Skewed
overview is uniformly distributedUniform
tagline is uniformly distributedUniform
title is uniformly distributedUniform
budget has 36490 (80.4%) zerosZeros
revenue has 37969 (83.7%) zerosZeros
runtime has 1535 (3.4%) zerosZeros
vote_average has 2947 (6.5%) zerosZeros
return has 39995 (88.1%) zerosZeros

Reproduction

Analysis started2023-05-16 00:42:17.766326
Analysis finished2023-05-16 00:43:03.873866
Duration46.11 seconds
Software versionydata-profiling vv4.1.2
Download configurationconfig.json

Variables

belongs_to_collection
Categorical

HIGH CARDINALITY  IMBALANCE 

Distinct1079
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size709.0 KiB
42211 
The Bowery Boys
 
29
Totò Collection
 
27
Zatôichi: The Blind Swordsman
 
26
James Bond Collection
 
26
Other values (1074)
 
3057

Length

Max length54
Median length0
Mean length1.6698034
Min length0

Characters and Unicode

Total characters75769
Distinct characters136
Distinct categories12 ?
Distinct scripts6 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)0.4%

Sample

1st rowToy Story Collection
2nd row
3rd rowGrumpy Old Men Collection
4th row
5th rowFather of the Bride Collection

Common Values

ValueCountFrequency (%)
42211
93.0%
The Bowery Boys 29
 
0.1%
Totò Collection 27
 
0.1%
Zatôichi: The Blind Swordsman 26
 
0.1%
James Bond Collection 26
 
0.1%
The Carry On Collection 25
 
0.1%
Pokémon Collection 22
 
< 0.1%
Godzilla (Showa) Collection 16
 
< 0.1%
Charlie Chan (Warner Oland) Collection 15
 
< 0.1%
Dragon Ball Z (Movie) Collection 15
 
< 0.1%
Other values (1069) 2964
 
6.5%

Length

2023-05-15T19:43:04.186918image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
collection 2731
26.2%
the 846
 
8.1%
of 162
 
1.6%
series 104
 
1.0%
90
 
0.9%
and 74
 
0.7%
in 50
 
0.5%
on 47
 
0.5%
boys 45
 
0.4%
original 39
 
0.4%
Other values (1583) 6237
59.8%

Most occurring characters

ValueCountFrequency (%)
o 7978
 
10.5%
e 7436
 
9.8%
l 7294
 
9.6%
7261
 
9.6%
n 5400
 
7.1%
i 5390
 
7.1%
t 4728
 
6.2%
c 3469
 
4.6%
C 3183
 
4.2%
a 3088
 
4.1%
Other values (126) 20542
27.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 57485
75.9%
Uppercase Letter 9812
 
12.9%
Space Separator 7261
 
9.6%
Other Punctuation 332
 
0.4%
Open Punctuation 247
 
0.3%
Close Punctuation 247
 
0.3%
Decimal Number 242
 
0.3%
Dash Punctuation 108
 
0.1%
Other Letter 27
 
< 0.1%
Final Punctuation 3
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 7978
13.9%
e 7436
12.9%
l 7294
12.7%
n 5400
9.4%
i 5390
9.4%
t 4728
8.2%
c 3469
6.0%
a 3088
 
5.4%
r 2715
 
4.7%
s 1797
 
3.1%
Other values (53) 8190
14.2%
Uppercase Letter
ValueCountFrequency (%)
C 3183
32.4%
T 1050
 
10.7%
S 746
 
7.6%
B 490
 
5.0%
M 443
 
4.5%
A 393
 
4.0%
D 370
 
3.8%
H 362
 
3.7%
P 307
 
3.1%
G 289
 
2.9%
Other values (25) 2179
22.2%
Decimal Number
ValueCountFrequency (%)
1 61
25.2%
3 44
18.2%
9 44
18.2%
0 39
16.1%
2 18
 
7.4%
8 12
 
5.0%
5 10
 
4.1%
6 6
 
2.5%
7 6
 
2.5%
4 2
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 112
33.7%
: 83
25.0%
, 50
15.1%
& 44
 
13.3%
! 18
 
5.4%
/ 17
 
5.1%
3
 
0.9%
? 3
 
0.9%
* 2
 
0.6%
Other Letter
ValueCountFrequency (%)
3
11.1%
3
11.1%
3
11.1%
3
11.1%
3
11.1%
3
11.1%
3
11.1%
3
11.1%
3
11.1%
Open Punctuation
ValueCountFrequency (%)
( 243
98.4%
[ 4
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 243
98.4%
] 4
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 106
98.1%
2
 
1.9%
Space Separator
ValueCountFrequency (%)
7261
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%
Modifier Letter
ValueCountFrequency (%)
3
100.0%
Other Number
ValueCountFrequency (%)
½ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 67221
88.7%
Common 8445
 
11.1%
Cyrillic 76
 
0.1%
Hiragana 15
 
< 0.1%
Katakana 9
 
< 0.1%
Han 3
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 7978
11.9%
e 7436
11.1%
l 7294
10.9%
n 5400
 
8.0%
i 5390
 
8.0%
t 4728
 
7.0%
c 3469
 
5.2%
C 3183
 
4.7%
a 3088
 
4.6%
r 2715
 
4.0%
Other values (65) 16540
24.6%
Common
ValueCountFrequency (%)
7261
86.0%
( 243
 
2.9%
) 243
 
2.9%
. 112
 
1.3%
- 106
 
1.3%
: 83
 
1.0%
1 61
 
0.7%
, 50
 
0.6%
& 44
 
0.5%
3 44
 
0.5%
Other values (19) 198
 
2.3%
Cyrillic
ValueCountFrequency (%)
л 8
 
10.5%
о 8
 
10.5%
и 7
 
9.2%
к 7
 
9.2%
а 6
 
7.9%
р 5
 
6.6%
е 5
 
6.6%
я 4
 
5.3%
ц 3
 
3.9%
К 3
 
3.9%
Other values (13) 20
26.3%
Hiragana
ValueCountFrequency (%)
3
20.0%
3
20.0%
3
20.0%
3
20.0%
3
20.0%
Katakana
ValueCountFrequency (%)
3
33.3%
3
33.3%
3
33.3%
Han
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75496
99.6%
None 159
 
0.2%
Cyrillic 76
 
0.1%
Hiragana 15
 
< 0.1%
Katakana 12
 
< 0.1%
Punctuation 8
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 7978
 
10.6%
e 7436
 
9.8%
l 7294
 
9.7%
7261
 
9.6%
n 5400
 
7.2%
i 5390
 
7.1%
t 4728
 
6.3%
c 3469
 
4.6%
C 3183
 
4.2%
a 3088
 
4.1%
Other values (66) 20269
26.8%
None
ValueCountFrequency (%)
é 30
18.9%
ô 29
18.2%
ò 27
17.0%
ä 16
10.1%
ı 14
8.8%
ö 11
 
6.9%
í 5
 
3.1%
İ 4
 
2.5%
Ç 2
 
1.3%
ü 2
 
1.3%
Other values (14) 19
11.9%
Cyrillic
ValueCountFrequency (%)
л 8
 
10.5%
о 8
 
10.5%
и 7
 
9.2%
к 7
 
9.2%
а 6
 
7.9%
р 5
 
6.6%
е 5
 
6.6%
я 4
 
5.3%
ц 3
 
3.9%
К 3
 
3.9%
Other values (13) 20
26.3%
Katakana
ValueCountFrequency (%)
3
25.0%
3
25.0%
3
25.0%
3
25.0%
Punctuation
ValueCountFrequency (%)
3
37.5%
3
37.5%
2
25.0%
CJK
ValueCountFrequency (%)
3
100.0%
Hiragana
ValueCountFrequency (%)
3
20.0%
3
20.0%
3
20.0%
3
20.0%
3
20.0%

budget
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1223
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4232604.4
Minimum0
Maximum3.8 × 108
Zeros36490
Zeros (%)80.4%
Negative0
Negative (%)0.0%
Memory size709.0 KiB
2023-05-15T19:43:04.612944image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile25000000
Maximum3.8 × 108
Range3.8 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17439860
Coefficient of variation (CV)4.1203614
Kurtosis66.634491
Mean4232604.4
Median Absolute Deviation (MAD)0
Skewness7.1183385
Sum1.9205866 × 1011
Variance3.041487 × 1014
MonotonicityNot monotonic
2023-05-15T19:43:05.062121image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36490
80.4%
5000000 286
 
0.6%
10000000 259
 
0.6%
20000000 243
 
0.5%
2000000 242
 
0.5%
15000000 226
 
0.5%
3000000 223
 
0.5%
25000000 206
 
0.5%
1000000 197
 
0.4%
30000000 190
 
0.4%
Other values (1213) 6814
 
15.0%
ValueCountFrequency (%)
0 36490
80.4%
1 25
 
0.1%
2 14
 
< 0.1%
3 9
 
< 0.1%
4 8
 
< 0.1%
5 8
 
< 0.1%
6 5
 
< 0.1%
7 4
 
< 0.1%
8 5
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
380000000 1
 
< 0.1%
300000000 1
 
< 0.1%
280000000 1
 
< 0.1%
270000000 1
 
< 0.1%
260000000 3
 
< 0.1%
258000000 1
 
< 0.1%
255000000 1
 
< 0.1%
250000000 10
< 0.1%
245000000 2
 
< 0.1%
237000000 1
 
< 0.1%

genres
Categorical

Distinct4065
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size709.0 KiB
Drama
4998 
Comedy
3621 
Documentary
 
2713
 
2384
Drama, Romance
 
1301
Other values (4060)
30359 

Length

Max length80
Median length64
Mean length15.598069
Min length0

Characters and Unicode

Total characters707778
Distinct characters30
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2364 ?
Unique (%)5.2%

Sample

1st rowAnimation, Comedy, Family
2nd rowAdventure, Fantasy, Family
3rd rowRomance, Comedy
4th rowComedy, Drama, Romance
5th rowComedy

Common Values

ValueCountFrequency (%)
Drama 4998
 
11.0%
Comedy 3621
 
8.0%
Documentary 2713
 
6.0%
2384
 
5.3%
Drama, Romance 1301
 
2.9%
Comedy, Drama 1135
 
2.5%
Horror 974
 
2.1%
Comedy, Romance 930
 
2.0%
Comedy, Drama, Romance 593
 
1.3%
Drama, Comedy 532
 
1.2%
Other values (4055) 26195
57.7%

Length

2023-05-15T19:43:05.594679image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
drama 20255
21.4%
comedy 13181
13.9%
thriller 7619
 
8.0%
romance 6733
 
7.1%
action 6592
 
7.0%
horror 4670
 
4.9%
crime 4305
 
4.5%
documentary 3921
 
4.1%
adventure 3494
 
3.7%
science 3042
 
3.2%
Other values (12) 21032
22.2%

Most occurring characters

ValueCountFrequency (%)
r 69070
 
9.8%
a 61813
 
8.7%
e 55766
 
7.9%
m 53095
 
7.5%
51852
 
7.3%
o 48525
 
6.9%
, 48044
 
6.8%
i 39656
 
5.6%
n 35664
 
5.0%
y 28508
 
4.0%
Other values (20) 215785
30.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 512272
72.4%
Uppercase Letter 95610
 
13.5%
Space Separator 51852
 
7.3%
Other Punctuation 48044
 
6.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 69070
13.5%
a 61813
12.1%
e 55766
10.9%
m 53095
10.4%
o 48525
9.5%
i 39656
7.7%
n 35664
7.0%
y 28508
5.6%
c 27970
5.5%
t 26197
 
5.1%
Other values (7) 66008
12.9%
Uppercase Letter
ValueCountFrequency (%)
D 24176
25.3%
C 17486
18.3%
A 12018
12.6%
F 9744
10.2%
T 8385
 
8.8%
R 6733
 
7.0%
H 6067
 
6.3%
M 4828
 
5.0%
S 3042
 
3.2%
W 2365
 
2.5%
Space Separator
ValueCountFrequency (%)
51852
100.0%
Other Punctuation
ValueCountFrequency (%)
, 48044
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 607882
85.9%
Common 99896
 
14.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 69070
11.4%
a 61813
 
10.2%
e 55766
 
9.2%
m 53095
 
8.7%
o 48525
 
8.0%
i 39656
 
6.5%
n 35664
 
5.9%
y 28508
 
4.7%
c 27970
 
4.6%
t 26197
 
4.3%
Other values (18) 161618
26.6%
Common
ValueCountFrequency (%)
51852
51.9%
, 48044
48.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 707778
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 69070
 
9.8%
a 61813
 
8.7%
e 55766
 
7.9%
m 53095
 
7.5%
51852
 
7.3%
o 48525
 
6.9%
, 48044
 
6.8%
i 39656
 
5.6%
n 35664
 
5.0%
y 28508
 
4.0%
Other values (20) 215785
30.5%

id
Real number (ℝ)

Distinct45346
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108027.1
Minimum2
Maximum469172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size709.0 KiB
2023-05-15T19:43:05.906709image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5348.75
Q126385.75
median59857.5
Q3156533.5
95-th percentile357194.5
Maximum469172
Range469170
Interquartile range (IQR)130147.75

Descriptive statistics

Standard deviation112168.38
Coefficient of variation (CV)1.0383355
Kurtosis0.55951556
Mean108027.1
Median Absolute Deviation (MAD)44418.5
Skewness1.2830689
Sum4.9018378 × 109
Variance1.2581745 × 1010
MonotonicityNot monotonic
2023-05-15T19:43:06.265740image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
141971 3
 
< 0.1%
97995 2
 
< 0.1%
10991 2
 
< 0.1%
109962 2
 
< 0.1%
119916 2
 
< 0.1%
159849 2
 
< 0.1%
84198 2
 
< 0.1%
132641 2
 
< 0.1%
168538 2
 
< 0.1%
99080 2
 
< 0.1%
Other values (45336) 45355
> 99.9%
ValueCountFrequency (%)
2 1
< 0.1%
3 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
16 1
< 0.1%
ValueCountFrequency (%)
469172 1
< 0.1%
468707 1
< 0.1%
468343 1
< 0.1%
467731 1
< 0.1%
465044 1
< 0.1%
464819 1
< 0.1%
464207 1
< 0.1%
464111 1
< 0.1%
463906 1
< 0.1%
463800 1
< 0.1%

original_language
Categorical

HIGH CARDINALITY  IMBALANCE 

Distinct89
Distinct (%)0.2%
Missing11
Missing (%)< 0.1%
Memory size709.0 KiB
en
32202 
fr
 
2437
it
 
1528
ja
 
1349
de
 
1078
Other values (84)
6771 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters90730
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)< 0.1%

Sample

1st rowen
2nd rowen
3rd rowen
4th rowen
5th rowen

Common Values

ValueCountFrequency (%)
en 32202
71.0%
fr 2437
 
5.4%
it 1528
 
3.4%
ja 1349
 
3.0%
de 1078
 
2.4%
es 992
 
2.2%
ru 822
 
1.8%
hi 508
 
1.1%
ko 444
 
1.0%
zh 408
 
0.9%
Other values (79) 3597
 
7.9%

Length

2023-05-15T19:43:06.600760image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
en 32202
71.0%
fr 2437
 
5.4%
it 1528
 
3.4%
ja 1349
 
3.0%
de 1078
 
2.4%
es 992
 
2.2%
ru 822
 
1.8%
hi 508
 
1.1%
ko 444
 
1.0%
zh 408
 
0.9%
Other values (79) 3597
 
7.9%

Most occurring characters

ValueCountFrequency (%)
e 34527
38.1%
n 32910
36.3%
r 3630
 
4.0%
f 2835
 
3.1%
i 2388
 
2.6%
t 2250
 
2.5%
a 1839
 
2.0%
s 1652
 
1.8%
j 1350
 
1.5%
d 1323
 
1.5%
Other values (16) 6026
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 90730
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 34527
38.1%
n 32910
36.3%
r 3630
 
4.0%
f 2835
 
3.1%
i 2388
 
2.6%
t 2250
 
2.5%
a 1839
 
2.0%
s 1652
 
1.8%
j 1350
 
1.5%
d 1323
 
1.5%
Other values (16) 6026
 
6.6%

Most occurring scripts

ValueCountFrequency (%)
Latin 90730
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 34527
38.1%
n 32910
36.3%
r 3630
 
4.0%
f 2835
 
3.1%
i 2388
 
2.6%
t 2250
 
2.5%
a 1839
 
2.0%
s 1652
 
1.8%
j 1350
 
1.5%
d 1323
 
1.5%
Other values (16) 6026
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90730
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 34527
38.1%
n 32910
36.3%
r 3630
 
4.0%
f 2835
 
3.1%
i 2388
 
2.6%
t 2250
 
2.5%
a 1839
 
2.0%
s 1652
 
1.8%
j 1350
 
1.5%
d 1323
 
1.5%
Other values (16) 6026
 
6.6%

overview
Categorical

HIGH CARDINALITY  MISSING  UNIFORM 

Distinct44232
Distinct (%)99.5%
Missing941
Missing (%)2.1%
Memory size709.0 KiB
No overview found.
 
133
No Overview
 
7
 
5
Recovering from a nail gun shot to the head and 13 months of coma, doctor Pekka Valinta starts to unravel the mystery of his past, still suffering from total amnesia.
 
3
No movie overview available.
 
3
Other values (44227)
44284 

Length

Max length1000
Median length786
Mean length323.29706
Min length1

Characters and Unicode

Total characters14365705
Distinct characters429
Distinct categories25 ?
Distinct scripts13 ?
Distinct blocks21 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44173 ?
Unique (%)99.4%

Sample

1st rowLed by Woody, Andy's toys live happily in his room until Andy's birthday brings Buzz Lightyear onto the scene. Afraid of losing his place in Andy's heart, Woody plots against Buzz. But when circumstances separate Buzz and Woody from their owner, the duo eventually learns to put aside their differences.
2nd rowWhen siblings Judy and Peter discover an enchanted board game that opens the door to a magical world, they unwittingly invite Alan -- an adult who's been trapped inside the game for 26 years -- into their living room. Alan's only hope for freedom is to finish the game, which proves risky as all three find themselves running from giant rhinoceroses, evil monkeys and other terrifying creatures.
3rd rowA family wedding reignites the ancient feud between next-door neighbors and fishing buddies John and Max. Meanwhile, a sultry Italian divorcée opens a restaurant at the local bait shop, alarming the locals who worry she'll scare the fish away. But she's less interested in seafood than she is in cooking up a hot time with Max.
4th rowCheated on, mistreated and stepped on, the women are holding their breath, waiting for the elusive "good man" to break a string of less-than-stellar lovers. Friends and confidants Vannah, Bernie, Glo and Robin talk it all out, determined to find a better way to breathe.
5th rowJust when George Banks has recovered from his daughter's wedding, he receives the news that she's pregnant ... and that George's wife, Nina, is expecting too. He was planning on selling their home, but that's a plan that -- like George -- will have to change with the arrival of both a grandchild and a kid of his own.

Common Values

ValueCountFrequency (%)
No overview found. 133
 
0.3%
No Overview 7
 
< 0.1%
5
 
< 0.1%
Recovering from a nail gun shot to the head and 13 months of coma, doctor Pekka Valinta starts to unravel the mystery of his past, still suffering from total amnesia. 3
 
< 0.1%
No movie overview available. 3
 
< 0.1%
A few funny little novels about different aspects of life. 3
 
< 0.1%
Adaptation of the Jane Austen novel. 3
 
< 0.1%
King Lear, old and tired, divides his kingdom among his daughters, giving great importance to their protestations of love for him. When Cordelia, youngest and most honest, refuses to idly flatter the old man in return for favor, he banishes her and turns for support to his remaining daughters. But Goneril and Regan have no love for him and instead plot to take all his power from him. In a parallel, Lear's loyal courtier Gloucester favors his illegitimate son Edmund after being told lies about his faithful son Edgar. Madness and tragedy befall both ill-starred fathers. 3
 
< 0.1%
Poor but happy, young Nello and his grandfather live alone, delivering milk as a livelihood, in the outskirts of Antwerp, a city in Flanders (the Flemish or Dutch-speaking part of modern-day Belgium). They discover a beaten dog (a Bouvier, a large sturdy dog native to Flanders) and adopt it and nurse it back to health, naming it Patrasche, the middle name of Nello's mother Mary, who died when Nello was very young. Nello's mother was a talented artist, and like his mother, he delights in drawing, and his friend Aloise is his model and greatest fan and supporter. 2
 
< 0.1%
In Zola's Paris, an ingenue arrives at a tony bordello: she's Nana, guileless, but quickly learning to use her erotic innocence to get what she wants. She's an actress for a soft-core filmmaker and soon is the most popular courtesan in Paris, parlaying this into a house, bought for her by a wealthy banker. She tosses him and takes up with her neighbor, a count of impeccable rectitude, and with the count's impressionable son. The count is soon fetching sticks like a dog and mortgaging his lands to satisfy her whims. 2
 
< 0.1%
Other values (44222) 44271
97.6%
(Missing) 941
 
2.1%

Length

2023-05-15T19:43:06.969260image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the 138082
 
5.6%
a 98889
 
4.0%
and 75259
 
3.1%
to 73321
 
3.0%
of 69574
 
2.8%
in 48143
 
2.0%
is 36500
 
1.5%
his 36165
 
1.5%
with 23902
 
1.0%
her 21484
 
0.9%
Other values (97091) 1827389
74.6%

Most occurring characters

ValueCountFrequency (%)
2406350
16.8%
e 1363787
 
9.5%
a 940502
 
6.5%
t 934766
 
6.5%
i 851514
 
5.9%
o 829873
 
5.8%
n 822601
 
5.7%
s 767851
 
5.3%
r 744274
 
5.2%
h 600810
 
4.2%
Other values (419) 4103377
28.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11150061
77.6%
Space Separator 2406388
 
16.8%
Uppercase Letter 390962
 
2.7%
Other Punctuation 312824
 
2.2%
Decimal Number 42223
 
0.3%
Dash Punctuation 36767
 
0.3%
Close Punctuation 10100
 
0.1%
Open Punctuation 10077
 
0.1%
Final Punctuation 4556
 
< 0.1%
Initial Punctuation 882
 
< 0.1%
Other values (15) 865
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1363787
12.2%
a 940502
 
8.4%
t 934766
 
8.4%
i 851514
 
7.6%
o 829873
 
7.4%
n 822601
 
7.4%
s 767851
 
6.9%
r 744274
 
6.7%
h 600810
 
5.4%
l 478813
 
4.3%
Other values (142) 2815270
25.2%
Uppercase Letter
ValueCountFrequency (%)
A 42751
 
10.9%
T 35968
 
9.2%
S 31126
 
8.0%
M 23954
 
6.1%
B 23699
 
6.1%
C 22803
 
5.8%
H 19429
 
5.0%
W 18652
 
4.8%
I 16798
 
4.3%
D 16311
 
4.2%
Other values (77) 139471
35.7%
Other Letter
ValueCountFrequency (%)
6
 
4.8%
6
 
4.8%
5
 
4.0%
4
 
3.2%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
2
 
1.6%
م 2
 
1.6%
Other values (76) 88
70.4%
Other Punctuation
ValueCountFrequency (%)
, 133443
42.7%
. 124794
39.9%
' 31121
 
9.9%
" 11661
 
3.7%
: 3299
 
1.1%
? 2759
 
0.9%
; 2493
 
0.8%
! 1543
 
0.5%
/ 765
 
0.2%
& 453
 
0.1%
Other values (12) 493
 
0.2%
Nonspacing Mark
ValueCountFrequency (%)
́ 4
12.1%
ి 4
12.1%
3
9.1%
3
9.1%
3
9.1%
̈ 3
9.1%
2
 
6.1%
2
 
6.1%
2
 
6.1%
2
 
6.1%
Other values (4) 5
15.2%
Decimal Number
ValueCountFrequency (%)
1 9748
23.1%
0 8265
19.6%
9 6405
15.2%
2 4251
10.1%
5 2440
 
5.8%
8 2379
 
5.6%
3 2342
 
5.5%
4 2176
 
5.2%
7 2131
 
5.0%
6 2086
 
4.9%
Spacing Mark
ValueCountFrequency (%)
11
40.7%
4
 
14.8%
3
 
11.1%
3
 
11.1%
ि 2
 
7.4%
2
 
7.4%
1
 
3.7%
ி 1
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 35244
95.9%
881
 
2.4%
633
 
1.7%
5
 
< 0.1%
4
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
® 45
70.3%
14
 
21.9%
¦ 2
 
3.1%
° 2
 
3.1%
1
 
1.6%
Math Symbol
ValueCountFrequency (%)
~ 20
50.0%
+ 11
27.5%
= 6
 
15.0%
| 2
 
5.0%
1
 
2.5%
Open Punctuation
ValueCountFrequency (%)
( 10024
99.5%
[ 50
 
0.5%
{ 2
 
< 0.1%
1
 
< 0.1%
Currency Symbol
ValueCountFrequency (%)
$ 317
96.4%
£ 10
 
3.0%
1
 
0.3%
1
 
0.3%
Space Separator
ValueCountFrequency (%)
2406350
> 99.9%
  36
 
< 0.1%
  2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 10048
99.5%
] 50
 
0.5%
} 2
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
3847
84.4%
690
 
15.1%
» 19
 
0.4%
Initial Punctuation
ValueCountFrequency (%)
672
76.2%
192
 
21.8%
« 18
 
2.0%
Control
ValueCountFrequency (%)
106
96.4%
’ 3
 
2.7%
 1
 
0.9%
Modifier Symbol
ValueCountFrequency (%)
´ 25
65.8%
` 12
31.6%
¯ 1
 
2.6%
Format
ValueCountFrequency (%)
31
60.8%
­ 20
39.2%
Other Number
ValueCountFrequency (%)
½ 8
50.0%
¹ 8
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 19
100.0%
Line Separator
ValueCountFrequency (%)
7
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%
Paragraph Separator
ValueCountFrequency (%)
2
100.0%
Modifier Letter
ValueCountFrequency (%)
ʼ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11535791
80.3%
Common 2824495
 
19.7%
Cyrillic 4587
 
< 0.1%
Greek 648
 
< 0.1%
Devanagari 77
 
< 0.1%
Telugu 30
 
< 0.1%
Hiragana 20
 
< 0.1%
Tamil 19
 
< 0.1%
Han 10
 
< 0.1%
Hangul 9
 
< 0.1%
Other values (3) 19
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1363787
11.8%
a 940502
 
8.2%
t 934766
 
8.1%
i 851514
 
7.4%
o 829873
 
7.2%
n 822601
 
7.1%
s 767851
 
6.7%
r 744274
 
6.5%
h 600810
 
5.2%
l 478813
 
4.2%
Other values (132) 3201000
27.7%
Common
ValueCountFrequency (%)
2406350
85.2%
, 133443
 
4.7%
. 124794
 
4.4%
- 35244
 
1.2%
' 31121
 
1.1%
" 11661
 
0.4%
) 10048
 
0.4%
( 10024
 
0.4%
1 9748
 
0.3%
0 8265
 
0.3%
Other values (71) 43797
 
1.6%
Cyrillic
ValueCountFrequency (%)
о 470
 
10.2%
е 404
 
8.8%
а 373
 
8.1%
н 323
 
7.0%
и 299
 
6.5%
т 265
 
5.8%
р 240
 
5.2%
с 218
 
4.8%
в 173
 
3.8%
л 161
 
3.5%
Other values (46) 1661
36.2%
Greek
ValueCountFrequency (%)
α 60
 
9.3%
ο 55
 
8.5%
τ 43
 
6.6%
ι 36
 
5.6%
η 36
 
5.6%
ν 34
 
5.2%
ε 31
 
4.8%
ρ 31
 
4.8%
π 30
 
4.6%
ς 30
 
4.6%
Other values (33) 262
40.4%
Devanagari
ValueCountFrequency (%)
11
 
14.3%
6
 
7.8%
6
 
7.8%
5
 
6.5%
4
 
5.2%
3
 
3.9%
3
 
3.9%
3
 
3.9%
3
 
3.9%
3
 
3.9%
Other values (21) 30
39.0%
Hiragana
ValueCountFrequency (%)
4
20.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
Other values (7) 7
35.0%
Telugu
ValueCountFrequency (%)
ి 4
13.3%
3
10.0%
3
10.0%
3
10.0%
2
 
6.7%
2
 
6.7%
2
 
6.7%
2
 
6.7%
2
 
6.7%
1
 
3.3%
Other values (6) 6
20.0%
Tamil
ValueCountFrequency (%)
3
15.8%
2
10.5%
2
10.5%
2
10.5%
2
10.5%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
Other values (3) 3
15.8%
Han
ValueCountFrequency (%)
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
Hangul
ValueCountFrequency (%)
2
22.2%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
Thai
ValueCountFrequency (%)
2
25.0%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Arabic
ValueCountFrequency (%)
م 2
50.0%
ہ 1
25.0%
ت 1
25.0%
Inherited
ValueCountFrequency (%)
́ 4
57.1%
̈ 3
42.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14347707
99.9%
Punctuation 7270
 
0.1%
None 5930
 
< 0.1%
Cyrillic 4587
 
< 0.1%
Devanagari 77
 
< 0.1%
Telugu 30
 
< 0.1%
Hiragana 20
 
< 0.1%
Tamil 19
 
< 0.1%
Letterlike Symbols 14
 
< 0.1%
CJK 10
 
< 0.1%
Other values (11) 41
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2406350
16.8%
e 1363787
 
9.5%
a 940502
 
6.6%
t 934766
 
6.5%
i 851514
 
5.9%
o 829873
 
5.8%
n 822601
 
5.7%
s 767851
 
5.4%
r 744274
 
5.2%
h 600810
 
4.2%
Other values (82) 4085379
28.5%
Punctuation
ValueCountFrequency (%)
3847
52.9%
881
 
12.1%
690
 
9.5%
672
 
9.2%
633
 
8.7%
303
 
4.2%
192
 
2.6%
31
 
0.4%
7
 
0.1%
5
 
0.1%
Other values (4) 9
 
0.1%
None
ValueCountFrequency (%)
é 1552
26.2%
ä 294
 
5.0%
á 293
 
4.9%
ö 250
 
4.2%
í 243
 
4.1%
è 209
 
3.5%
ü 178
 
3.0%
ı 165
 
2.8%
ó 164
 
2.8%
ç 158
 
2.7%
Other values (141) 2424
40.9%
Cyrillic
ValueCountFrequency (%)
о 470
 
10.2%
е 404
 
8.8%
а 373
 
8.1%
н 323
 
7.0%
и 299
 
6.5%
т 265
 
5.8%
р 240
 
5.2%
с 218
 
4.8%
в 173
 
3.8%
л 161
 
3.5%
Other values (46) 1661
36.2%
Letterlike Symbols
ValueCountFrequency (%)
14
100.0%
Devanagari
ValueCountFrequency (%)
11
 
14.3%
6
 
7.8%
6
 
7.8%
5
 
6.5%
4
 
5.2%
3
 
3.9%
3
 
3.9%
3
 
3.9%
3
 
3.9%
3
 
3.9%
Other values (21) 30
39.0%
Alphabetic PF
ValueCountFrequency (%)
4
100.0%
Hiragana
ValueCountFrequency (%)
4
20.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
Other values (7) 7
35.0%
Diacriticals
ValueCountFrequency (%)
́ 4
57.1%
̈ 3
42.9%
Telugu
ValueCountFrequency (%)
ి 4
13.3%
3
10.0%
3
10.0%
3
10.0%
2
 
6.7%
2
 
6.7%
2
 
6.7%
2
 
6.7%
2
 
6.7%
1
 
3.3%
Other values (6) 6
20.0%
Tamil
ValueCountFrequency (%)
3
15.8%
2
10.5%
2
10.5%
2
10.5%
2
10.5%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
Other values (3) 3
15.8%
Arabic
ValueCountFrequency (%)
م 2
50.0%
ہ 1
25.0%
ت 1
25.0%
Hangul
ValueCountFrequency (%)
2
22.2%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
Number Forms
ValueCountFrequency (%)
2
100.0%
Modifier Letters
ValueCountFrequency (%)
ʼ 2
100.0%
Thai
ValueCountFrequency (%)
2
25.0%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
CJK
ValueCountFrequency (%)
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
Math Operators
ValueCountFrequency (%)
1
100.0%
Katakana
ValueCountFrequency (%)
1
100.0%
Currency Symbols
ValueCountFrequency (%)
1
50.0%
1
50.0%
Specials
ValueCountFrequency (%)
1
100.0%

popularity
Real number (ℝ)

Distinct43731
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9264576
Minimum0
Maximum547.4883
Zeros40
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size709.0 KiB
2023-05-15T19:43:07.410813image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02079775
Q10.3888395
median1.1304545
Q33.6916945
95-th percentile11.063627
Maximum547.4883
Range547.4883
Interquartile range (IQR)3.302855

Descriptive statistics

Standard deviation6.0096718
Coefficient of variation (CV)2.0535653
Kurtosis1923.6882
Mean2.9264576
Median Absolute Deviation (MAD)0.9676215
Skewness29.215066
Sum132790.94
Variance36.116156
MonotonicityNot monotonic
2023-05-15T19:43:07.786847image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 × 10-656
 
0.1%
0.000308 42
 
0.1%
0 40
 
0.1%
0.00022 39
 
0.1%
0.000844 38
 
0.1%
0.000578 38
 
0.1%
0.001177 38
 
0.1%
0.002001 27
 
0.1%
0.003013 21
 
< 0.1%
0.00353 19
 
< 0.1%
Other values (43721) 45018
99.2%
ValueCountFrequency (%)
0 40
0.1%
1 × 10-656
0.1%
2 × 10-66
 
< 0.1%
3 × 10-66
 
< 0.1%
4 × 10-65
 
< 0.1%
5 × 10-61
 
< 0.1%
6 × 10-62
 
< 0.1%
7 × 10-61
 
< 0.1%
8 × 10-66
 
< 0.1%
9 × 10-62
 
< 0.1%
ValueCountFrequency (%)
547.488298 1
< 0.1%
294.337037 1
< 0.1%
287.253654 1
< 0.1%
228.032744 1
< 0.1%
213.849907 1
< 0.1%
187.860492 1
< 0.1%
185.330992 1
< 0.1%
185.070892 1
< 0.1%
183.870374 1
< 0.1%
154.801009 1
< 0.1%
Distinct22247
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Memory size709.0 KiB
12280 
Metro-Goldwyn-Mayer (MGM)
 
742
Warner Bros.
 
540
Paramount Pictures
 
505
Twentieth Century Fox Film Corporation
 
439
Other values (22242)
30870 

Length

Max length609
Median length413
Mean length29.708062
Min length0

Characters and Unicode

Total characters1348033
Distinct characters290
Distinct categories17 ?
Distinct scripts6 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19904 ?
Unique (%)43.9%

Sample

1st rowPixar Animation Studios
2nd rowTriStar Pictures, Teitler Film, Interscope Communications
3rd rowWarner Bros., Lancaster Gate
4th rowTwentieth Century Fox Film Corporation
5th rowSandollar Productions, Touchstone Pictures

Common Values

ValueCountFrequency (%)
12280
27.1%
Metro-Goldwyn-Mayer (MGM) 742
 
1.6%
Warner Bros. 540
 
1.2%
Paramount Pictures 505
 
1.1%
Twentieth Century Fox Film Corporation 439
 
1.0%
Universal Pictures 320
 
0.7%
RKO Radio Pictures 247
 
0.5%
Columbia Pictures Corporation 207
 
0.5%
Columbia Pictures 146
 
0.3%
Mosfilm 145
 
0.3%
Other values (22237) 29805
65.7%

Length

2023-05-15T19:43:08.176875image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
films 9216
 
5.4%
pictures 9179
 
5.3%
productions 8866
 
5.2%
film 6492
 
3.8%
entertainment 5070
 
3.0%
corporation 2166
 
1.3%
company 1730
 
1.0%
warner 1470
 
0.9%
bros 1404
 
0.8%
the 1356
 
0.8%
Other values (18153) 124739
72.7%

Most occurring characters

ValueCountFrequency (%)
138598
 
10.3%
i 103814
 
7.7%
e 91316
 
6.8%
n 87239
 
6.5%
o 82784
 
6.1%
r 81351
 
6.0%
t 81316
 
6.0%
a 74727
 
5.5%
s 60774
 
4.5%
l 49367
 
3.7%
Other values (280) 496747
36.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 956682
71.0%
Uppercase Letter 192589
 
14.3%
Space Separator 138598
 
10.3%
Other Punctuation 42789
 
3.2%
Decimal Number 4156
 
0.3%
Dash Punctuation 4150
 
0.3%
Open Punctuation 4145
 
0.3%
Close Punctuation 4144
 
0.3%
Math Symbol 596
 
< 0.1%
Other Letter 140
 
< 0.1%
Other values (7) 44
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 103814
10.9%
e 91316
9.5%
n 87239
9.1%
o 82784
8.7%
r 81351
8.5%
t 81316
8.5%
a 74727
 
7.8%
s 60774
 
6.4%
l 49367
 
5.2%
m 42987
 
4.5%
Other values (102) 201007
21.0%
Other Letter
ValueCountFrequency (%)
9
 
6.4%
8
 
5.7%
6
 
4.3%
5
 
3.6%
5
 
3.6%
5
 
3.6%
5
 
3.6%
5
 
3.6%
4
 
2.9%
3
 
2.1%
Other values (62) 85
60.7%
Uppercase Letter
ValueCountFrequency (%)
P 27299
14.2%
F 25478
13.2%
C 19722
 
10.2%
M 12977
 
6.7%
S 11574
 
6.0%
E 9455
 
4.9%
A 9167
 
4.8%
T 9063
 
4.7%
B 8748
 
4.5%
G 7596
 
3.9%
Other values (52) 51510
26.7%
Other Punctuation
ValueCountFrequency (%)
, 35793
83.7%
. 5545
 
13.0%
& 744
 
1.7%
/ 628
 
1.5%
! 36
 
0.1%
% 17
 
< 0.1%
: 9
 
< 0.1%
@ 5
 
< 0.1%
; 3
 
< 0.1%
# 3
 
< 0.1%
Other values (4) 6
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 993
23.9%
1 675
16.2%
0 629
15.1%
3 519
12.5%
4 461
11.1%
9 198
 
4.8%
6 193
 
4.6%
7 171
 
4.1%
8 159
 
3.8%
5 158
 
3.8%
Open Punctuation
ValueCountFrequency (%)
( 4135
99.8%
[ 9
 
0.2%
1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 4134
99.8%
] 9
 
0.2%
1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 4148
> 99.9%
2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 595
99.8%
| 1
 
0.2%
Other Symbol
ValueCountFrequency (%)
° 23
92.0%
2
 
8.0%
Final Punctuation
ValueCountFrequency (%)
» 3
50.0%
3
50.0%
Space Separator
ValueCountFrequency (%)
138598
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Control
ValueCountFrequency (%)
4
100.0%
Initial Punctuation
ValueCountFrequency (%)
« 3
100.0%
Other Number
ValueCountFrequency (%)
² 1
100.0%
Format
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1148868
85.2%
Common 198620
 
14.7%
Cyrillic 373
 
< 0.1%
Hangul 115
 
< 0.1%
Greek 31
 
< 0.1%
Han 26
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 103814
 
9.0%
e 91316
 
7.9%
n 87239
 
7.6%
o 82784
 
7.2%
r 81351
 
7.1%
t 81316
 
7.1%
a 74727
 
6.5%
s 60774
 
5.3%
l 49367
 
4.3%
m 42987
 
3.7%
Other values (99) 393193
34.2%
Hangul
ValueCountFrequency (%)
9
 
7.8%
8
 
7.0%
6
 
5.2%
5
 
4.3%
5
 
4.3%
5
 
4.3%
5
 
4.3%
5
 
4.3%
4
 
3.5%
3
 
2.6%
Other values (43) 60
52.2%
Cyrillic
ValueCountFrequency (%)
и 34
 
9.1%
о 28
 
7.5%
а 26
 
7.0%
л 22
 
5.9%
н 20
 
5.4%
м 19
 
5.1%
т 17
 
4.6%
с 16
 
4.3%
ь 16
 
4.3%
е 16
 
4.3%
Other values (36) 159
42.6%
Common
ValueCountFrequency (%)
138598
69.8%
, 35793
 
18.0%
. 5545
 
2.8%
- 4148
 
2.1%
( 4135
 
2.1%
) 4134
 
2.1%
2 993
 
0.5%
& 744
 
0.4%
1 675
 
0.3%
0 629
 
0.3%
Other values (33) 3226
 
1.6%
Greek
ValueCountFrequency (%)
ο 3
 
9.7%
ν 3
 
9.7%
ρ 2
 
6.5%
τ 2
 
6.5%
Κ 2
 
6.5%
ι 2
 
6.5%
η 2
 
6.5%
λ 2
 
6.5%
Ε 2
 
6.5%
γ 1
 
3.2%
Other values (10) 10
32.3%
Han
ValueCountFrequency (%)
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%
Other values (9) 9
34.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1342412
99.6%
None 5102
 
0.4%
Cyrillic 373
 
< 0.1%
Hangul 113
 
< 0.1%
CJK 26
 
< 0.1%
Punctuation 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138598
 
10.3%
i 103814
 
7.7%
e 91316
 
6.8%
n 87239
 
6.5%
o 82784
 
6.2%
r 81351
 
6.1%
t 81316
 
6.1%
a 74727
 
5.6%
s 60774
 
4.5%
l 49367
 
3.7%
Other values (75) 491126
36.6%
None
ValueCountFrequency (%)
é 2752
53.9%
ó 376
 
7.4%
á 300
 
5.9%
í 166
 
3.3%
ñ 146
 
2.9%
ü 137
 
2.7%
ä 134
 
2.6%
ö 128
 
2.5%
ô 127
 
2.5%
ç 118
 
2.3%
Other values (74) 718
 
14.1%
Cyrillic
ValueCountFrequency (%)
и 34
 
9.1%
о 28
 
7.5%
а 26
 
7.0%
л 22
 
5.9%
н 20
 
5.4%
м 19
 
5.1%
т 17
 
4.6%
с 16
 
4.3%
ь 16
 
4.3%
е 16
 
4.3%
Other values (36) 159
42.6%
Hangul
ValueCountFrequency (%)
9
 
8.0%
8
 
7.1%
6
 
5.3%
5
 
4.4%
5
 
4.4%
5
 
4.4%
5
 
4.4%
5
 
4.4%
4
 
3.5%
3
 
2.7%
Other values (42) 58
51.3%
Punctuation
ValueCountFrequency (%)
3
42.9%
2
28.6%
1
 
14.3%
1
 
14.3%
CJK
ValueCountFrequency (%)
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%
Other values (9) 9
34.6%

production_countries
Categorical

HIGH CARDINALITY  IMBALANCE 

Distinct2384
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size709.0 KiB
United States of America
17846 
6216 
United Kingdom
2235 
France
 
1653
Japan
 
1356
Other values (2379)
16070 

Length

Max length237
Median length167
Mean length16.434789
Min length0

Characters and Unicode

Total characters745745
Distinct characters52
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1759 ?
Unique (%)3.9%

Sample

1st rowUnited States of America
2nd rowUnited States of America
3rd rowUnited States of America
4th rowUnited States of America
5th rowUnited States of America

Common Values

ValueCountFrequency (%)
United States of America 17846
39.3%
6216
 
13.7%
United Kingdom 2235
 
4.9%
France 1653
 
3.6%
Japan 1356
 
3.0%
Italy 1029
 
2.3%
Canada 840
 
1.9%
Germany 749
 
1.7%
India 735
 
1.6%
Russia 734
 
1.6%
Other values (2374) 11983
26.4%

Length

2023-05-15T19:43:08.688915image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
united 25266
21.3%
states 21148
17.8%
of 21147
17.8%
america 21147
17.8%
kingdom 4091
 
3.4%
france 3937
 
3.3%
germany 2259
 
1.9%
italy 2167
 
1.8%
canada 1764
 
1.5%
japan 1648
 
1.4%
Other values (172) 14153
11.9%

Most occurring characters

ValueCountFrequency (%)
e 80628
 
10.8%
79567
 
10.7%
t 72610
 
9.7%
a 70467
 
9.4%
i 58535
 
7.8%
n 47487
 
6.4%
d 34541
 
4.6%
r 32478
 
4.4%
o 29566
 
4.0%
m 28700
 
3.8%
Other values (42) 211166
28.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 558405
74.9%
Uppercase Letter 97540
 
13.1%
Space Separator 79567
 
10.7%
Other Punctuation 10233
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 80628
14.4%
t 72610
13.0%
a 70467
12.6%
i 58535
10.5%
n 47487
8.5%
d 34541
6.2%
r 32478
5.8%
o 29566
 
5.3%
m 28700
 
5.1%
c 26360
 
4.7%
Other values (16) 77033
13.8%
Uppercase Letter
ValueCountFrequency (%)
U 25367
26.0%
S 23834
24.4%
A 22388
23.0%
K 5218
 
5.3%
F 4331
 
4.4%
I 3582
 
3.7%
C 2591
 
2.7%
G 2472
 
2.5%
J 1664
 
1.7%
R 1304
 
1.3%
Other values (14) 4789
 
4.9%
Space Separator
ValueCountFrequency (%)
79567
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10233
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 655945
88.0%
Common 89800
 
12.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 80628
12.3%
t 72610
11.1%
a 70467
10.7%
i 58535
 
8.9%
n 47487
 
7.2%
d 34541
 
5.3%
r 32478
 
5.0%
o 29566
 
4.5%
m 28700
 
4.4%
c 26360
 
4.0%
Other values (40) 174573
26.6%
Common
ValueCountFrequency (%)
79567
88.6%
, 10233
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 745745
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 80628
 
10.8%
79567
 
10.7%
t 72610
 
9.7%
a 70467
 
9.4%
i 58535
 
7.8%
n 47487
 
6.4%
d 34541
 
4.6%
r 32478
 
4.4%
o 29566
 
4.0%
m 28700
 
3.8%
Other values (42) 211166
28.3%
Distinct17333
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size709.0 KiB
Minimum1874-12-09 00:00:00
Maximum2020-12-16 00:00:00
2023-05-15T19:43:09.090848image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:43:09.441305image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

revenue
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6863
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11230099
Minimum0
Maximum2.7879651 × 109
Zeros37969
Zeros (%)83.7%
Negative0
Negative (%)0.0%
Memory size709.0 KiB
2023-05-15T19:43:09.785839image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile48020044
Maximum2.7879651 × 109
Range2.7879651 × 109
Interquartile range (IQR)0

Descriptive statistics

Standard deviation64389957
Coefficient of variation (CV)5.7336944
Kurtosis237.07741
Mean11230099
Median Absolute Deviation (MAD)0
Skewness12.254722
Sum5.0957698 × 1011
Variance4.1460665 × 1015
MonotonicityNot monotonic
2023-05-15T19:43:10.061859image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37969
83.7%
12000000 20
 
< 0.1%
10000000 19
 
< 0.1%
11000000 19
 
< 0.1%
2000000 18
 
< 0.1%
6000000 17
 
< 0.1%
5000000 14
 
< 0.1%
8000000 13
 
< 0.1%
500000 13
 
< 0.1%
1 12
 
< 0.1%
Other values (6853) 7262
 
16.0%
ValueCountFrequency (%)
0 37969
83.7%
1 12
 
< 0.1%
2 3
 
< 0.1%
3 9
 
< 0.1%
4 4
 
< 0.1%
5 5
 
< 0.1%
6 2
 
< 0.1%
7 4
 
< 0.1%
8 5
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
2787965087 1
< 0.1%
2068223624 1
< 0.1%
1845034188 1
< 0.1%
1519557910 1
< 0.1%
1513528810 1
< 0.1%
1506249360 1
< 0.1%
1405403694 1
< 0.1%
1342000000 1
< 0.1%
1274219009 1
< 0.1%
1262886337 1
< 0.1%

runtime
Real number (ℝ)

Distinct353
Distinct (%)0.8%
Missing246
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean94.181675
Minimum0
Maximum1256
Zeros1535
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size709.0 KiB
2023-05-15T19:43:10.342887image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q185
median95
Q3107
95-th percentile138
Maximum1256
Range1256
Interquartile range (IQR)22

Descriptive statistics

Standard deviation38.341059
Coefficient of variation (CV)0.4070968
Kurtosis93.925543
Mean94.181675
Median Absolute Deviation (MAD)11
Skewness4.4907363
Sum4250419
Variance1470.0368
MonotonicityNot monotonic
2023-05-15T19:43:10.698906image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 2549
 
5.6%
0 1535
 
3.4%
100 1470
 
3.2%
95 1410
 
3.1%
93 1214
 
2.7%
96 1104
 
2.4%
92 1079
 
2.4%
94 1062
 
2.3%
91 1055
 
2.3%
88 1030
 
2.3%
Other values (343) 31622
69.7%
ValueCountFrequency (%)
0 1535
3.4%
1 107
 
0.2%
2 33
 
0.1%
3 48
 
0.1%
4 50
 
0.1%
5 51
 
0.1%
6 72
 
0.2%
7 103
 
0.2%
8 78
 
0.2%
9 63
 
0.1%
ValueCountFrequency (%)
1256 1
< 0.1%
1140 2
< 0.1%
931 1
< 0.1%
925 1
< 0.1%
900 1
< 0.1%
877 1
< 0.1%
874 1
< 0.1%
840 2
< 0.1%
780 1
< 0.1%
720 1
< 0.1%

spoken_languages
Categorical

HIGH CARDINALITY  IMBALANCE 

Distinct1828
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size709.0 KiB
English
22380 
3917 
Français
 
1852
日本語
 
1289
Italiano
 
1217
Other values (1823)
14721 

Length

Max length115
Median length7
Mean length8.5753482
Min length0

Characters and Unicode

Total characters389115
Distinct characters170
Distinct categories7 ?
Distinct scripts15 ?
Distinct blocks16 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1284 ?
Unique (%)2.8%

Sample

1st rowEnglish
2nd rowEnglish, Français
3rd rowEnglish
4th rowEnglish
5th rowEnglish

Common Values

ValueCountFrequency (%)
English 22380
49.3%
3917
 
8.6%
Français 1852
 
4.1%
日本語 1289
 
2.8%
Italiano 1217
 
2.7%
Español 901
 
2.0%
Pусский 807
 
1.8%
Deutsch 761
 
1.7%
English, Français 681
 
1.5%
English, Español 572
 
1.3%
Other values (1818) 10999
24.2%

Length

2023-05-15T19:43:11.093460image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
english 28719
52.9%
français 4190
 
7.7%
deutsch 2622
 
4.8%
español 2410
 
4.4%
italiano 2365
 
4.4%
日本語 1757
 
3.2%
pусский 1552
 
2.9%
普通话 790
 
1.5%
हिन्दी 707
 
1.3%
662
 
1.2%
Other values (68) 8517
 
15.7%

Most occurring characters

ValueCountFrequency (%)
s 42238
10.9%
n 37439
 
9.6%
i 37007
 
9.5%
l 34609
 
8.9%
h 31447
 
8.1%
E 31185
 
8.0%
g 30401
 
7.8%
a 18899
 
4.9%
13025
 
3.3%
, 11613
 
3.0%
Other values (160) 101252
26.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 291487
74.9%
Uppercase Letter 46357
 
11.9%
Other Letter 22181
 
5.7%
Space Separator 13025
 
3.3%
Other Punctuation 12678
 
3.3%
Spacing Mark 1838
 
0.5%
Nonspacing Mark 1549
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 42238
14.5%
n 37439
12.8%
i 37007
12.7%
l 34609
11.9%
h 31447
10.8%
g 30401
10.4%
a 18899
6.5%
o 7042
 
2.4%
r 6119
 
2.1%
t 5945
 
2.0%
Other values (63) 40341
13.8%
Other Letter
ValueCountFrequency (%)
1757
 
7.9%
1757
 
7.9%
1757
 
7.9%
1263
 
5.7%
946
 
4.3%
790
 
3.6%
790
 
3.6%
707
 
3.2%
707
 
3.2%
707
 
3.2%
Other values (46) 11000
49.6%
Uppercase Letter
ValueCountFrequency (%)
E 31185
67.3%
F 4192
 
9.0%
D 2923
 
6.3%
P 2662
 
5.7%
I 2365
 
5.1%
N 827
 
1.8%
L 479
 
1.0%
M 360
 
0.8%
T 307
 
0.7%
Č 282
 
0.6%
Other values (13) 775
 
1.7%
Spacing Mark
ValueCountFrequency (%)
ि 707
38.5%
707
38.5%
136
 
7.4%
ி 111
 
6.0%
94
 
5.1%
47
 
2.6%
18
 
1.0%
18
 
1.0%
Nonspacing Mark
ValueCountFrequency (%)
707
45.6%
ִ 430
27.8%
ְ 215
 
13.9%
111
 
7.2%
68
 
4.4%
18
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 11613
91.6%
/ 1015
 
8.0%
? 50
 
0.4%
Space Separator
ValueCountFrequency (%)
13025
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 325536
83.7%
Common 25703
 
6.6%
Han 10479
 
2.7%
Cyrillic 10381
 
2.7%
Devanagari 4242
 
1.1%
Arabic 3337
 
0.9%
Hangul 3252
 
0.8%
Hebrew 1720
 
0.4%
Greek 1696
 
0.4%
Thai 1232
 
0.3%
Other values (5) 1537
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 42238
13.0%
n 37439
11.5%
i 37007
11.4%
l 34609
10.6%
h 31447
9.7%
E 31185
9.6%
g 30401
9.3%
a 18899
 
5.8%
o 7042
 
2.2%
r 6119
 
1.9%
Other values (50) 49150
15.1%
Cyrillic
ValueCountFrequency (%)
с 3190
30.7%
к 1722
16.6%
и 1667
16.1%
й 1605
15.5%
у 1554
15.0%
а 112
 
1.1%
р 86
 
0.8%
ь 53
 
0.5%
ї 53
 
0.5%
н 53
 
0.5%
Other values (12) 286
 
2.8%
Arabic
ValueCountFrequency (%)
ا 536
16.1%
ر 536
16.1%
ة 340
10.2%
ي 340
10.2%
ب 340
10.2%
ع 340
10.2%
ل 340
10.2%
ف 141
 
4.2%
س 141
 
4.2%
ی 141
 
4.2%
Other values (5) 142
 
4.3%
Han
ValueCountFrequency (%)
1757
16.8%
1757
16.8%
1757
16.8%
1263
12.1%
946
9.0%
790
7.5%
790
7.5%
广 473
 
4.5%
473
 
4.5%
473
 
4.5%
Hebrew
ValueCountFrequency (%)
ִ 430
25.0%
ְ 215
12.5%
ת 215
12.5%
י 215
12.5%
ר 215
12.5%
ב 215
12.5%
ע 215
12.5%
Greek
ValueCountFrequency (%)
λ 424
25.0%
ά 212
12.5%
κ 212
12.5%
ι 212
12.5%
η 212
12.5%
ν 212
12.5%
ε 212
12.5%
Georgian
ValueCountFrequency (%)
33
14.3%
33
14.3%
33
14.3%
33
14.3%
33
14.3%
33
14.3%
33
14.3%
Devanagari
ValueCountFrequency (%)
ि 707
16.7%
707
16.7%
707
16.7%
707
16.7%
707
16.7%
707
16.7%
Hangul
ValueCountFrequency (%)
542
16.7%
542
16.7%
542
16.7%
542
16.7%
542
16.7%
542
16.7%
Thai
ValueCountFrequency (%)
352
28.6%
176
14.3%
176
14.3%
176
14.3%
176
14.3%
176
14.3%
Gurmukhi
ValueCountFrequency (%)
18
16.7%
18
16.7%
18
16.7%
18
16.7%
18
16.7%
18
16.7%
Telugu
ValueCountFrequency (%)
136
33.3%
68
16.7%
68
16.7%
68
16.7%
68
16.7%
Tamil
ValueCountFrequency (%)
111
20.0%
111
20.0%
111
20.0%
ி 111
20.0%
111
20.0%
Common
ValueCountFrequency (%)
13025
50.7%
, 11613
45.2%
/ 1015
 
3.9%
? 50
 
0.2%
Bengali
ValueCountFrequency (%)
94
40.0%
47
20.0%
47
20.0%
47
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 342425
88.0%
CJK 10479
 
2.7%
None 10384
 
2.7%
Cyrillic 10381
 
2.7%
Devanagari 4242
 
1.1%
Arabic 3337
 
0.9%
Hangul 3252
 
0.8%
Hebrew 1720
 
0.4%
Thai 1232
 
0.3%
Tamil 555
 
0.1%
Other values (6) 1108
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 42238
12.3%
n 37439
10.9%
i 37007
10.8%
l 34609
10.1%
h 31447
9.2%
E 31185
9.1%
g 30401
8.9%
a 18899
 
5.5%
13025
 
3.8%
, 11613
 
3.4%
Other values (38) 54562
15.9%
None
ValueCountFrequency (%)
ç 4436
42.7%
ñ 2410
23.2%
ê 590
 
5.7%
λ 424
 
4.1%
Č 282
 
2.7%
ý 282
 
2.7%
ü 246
 
2.4%
ά 212
 
2.0%
κ 212
 
2.0%
ι 212
 
2.0%
Other values (10) 1078
 
10.4%
Cyrillic
ValueCountFrequency (%)
с 3190
30.7%
к 1722
16.6%
и 1667
16.1%
й 1605
15.5%
у 1554
15.0%
а 112
 
1.1%
р 86
 
0.8%
ь 53
 
0.5%
ї 53
 
0.5%
н 53
 
0.5%
Other values (12) 286
 
2.8%
CJK
ValueCountFrequency (%)
1757
16.8%
1757
16.8%
1757
16.8%
1263
12.1%
946
9.0%
790
7.5%
790
7.5%
广 473
 
4.5%
473
 
4.5%
473
 
4.5%
Devanagari
ValueCountFrequency (%)
ि 707
16.7%
707
16.7%
707
16.7%
707
16.7%
707
16.7%
707
16.7%
Hangul
ValueCountFrequency (%)
542
16.7%
542
16.7%
542
16.7%
542
16.7%
542
16.7%
542
16.7%
Arabic
ValueCountFrequency (%)
ا 536
16.1%
ر 536
16.1%
ة 340
10.2%
ي 340
10.2%
ب 340
10.2%
ع 340
10.2%
ل 340
10.2%
ف 141
 
4.2%
س 141
 
4.2%
ی 141
 
4.2%
Other values (5) 142
 
4.3%
Hebrew
ValueCountFrequency (%)
ִ 430
25.0%
ְ 215
12.5%
ת 215
12.5%
י 215
12.5%
ר 215
12.5%
ב 215
12.5%
ע 215
12.5%
Thai
ValueCountFrequency (%)
352
28.6%
176
14.3%
176
14.3%
176
14.3%
176
14.3%
176
14.3%
Telugu
ValueCountFrequency (%)
136
33.3%
68
16.7%
68
16.7%
68
16.7%
68
16.7%
Tamil
ValueCountFrequency (%)
111
20.0%
111
20.0%
111
20.0%
ி 111
20.0%
111
20.0%
Bengali
ValueCountFrequency (%)
94
40.0%
47
20.0%
47
20.0%
47
20.0%
Latin Ext Additional
ValueCountFrequency (%)
ế 61
50.0%
61
50.0%
Georgian
ValueCountFrequency (%)
33
14.3%
33
14.3%
33
14.3%
33
14.3%
33
14.3%
33
14.3%
33
14.3%
Gurmukhi
ValueCountFrequency (%)
18
16.7%
18
16.7%
18
16.7%
18
16.7%
18
16.7%
18
16.7%
IPA Ext
ValueCountFrequency (%)
ə 4
100.0%

status
Categorical

Distinct6
Distinct (%)< 0.1%
Missing80
Missing (%)0.2%
Memory size709.0 KiB
Released
44936 
Rumored
 
230
Post Production
 
97
In Production
 
19
Planned
 
13

Length

Max length15
Median length8
Mean length8.0117229
Min length7

Characters and Unicode

Total characters362899
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowReleased
2nd rowReleased
3rd rowReleased
4th rowReleased
5th rowReleased

Common Values

ValueCountFrequency (%)
Released 44936
99.0%
Rumored 230
 
0.5%
Post Production 97
 
0.2%
In Production 19
 
< 0.1%
Planned 13
 
< 0.1%
Canceled 1
 
< 0.1%
(Missing) 80
 
0.2%

Length

2023-05-15T19:43:11.546492image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-15T19:43:12.035048image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
released 44936
99.0%
rumored 230
 
0.5%
production 116
 
0.3%
post 97
 
0.2%
in 19
 
< 0.1%
planned 13
 
< 0.1%
canceled 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
e 135053
37.2%
d 45296
 
12.5%
R 45166
 
12.4%
s 45033
 
12.4%
l 44950
 
12.4%
a 44950
 
12.4%
o 559
 
0.2%
r 346
 
0.1%
u 346
 
0.1%
m 230
 
0.1%
Other values (8) 970
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 317371
87.5%
Uppercase Letter 45412
 
12.5%
Space Separator 116
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 135053
42.6%
d 45296
 
14.3%
s 45033
 
14.2%
l 44950
 
14.2%
a 44950
 
14.2%
o 559
 
0.2%
r 346
 
0.1%
u 346
 
0.1%
m 230
 
0.1%
t 213
 
0.1%
Other values (3) 395
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
R 45166
99.5%
P 226
 
0.5%
I 19
 
< 0.1%
C 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 362783
> 99.9%
Common 116
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 135053
37.2%
d 45296
 
12.5%
R 45166
 
12.4%
s 45033
 
12.4%
l 44950
 
12.4%
a 44950
 
12.4%
o 559
 
0.2%
r 346
 
0.1%
u 346
 
0.1%
m 230
 
0.1%
Other values (7) 854
 
0.2%
Common
ValueCountFrequency (%)
116
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 362899
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 135053
37.2%
d 45296
 
12.5%
R 45166
 
12.4%
s 45033
 
12.4%
l 44950
 
12.4%
a 44950
 
12.4%
o 559
 
0.2%
r 346
 
0.1%
u 346
 
0.1%
m 230
 
0.1%
Other values (8) 970
 
0.3%

tagline
Categorical

HIGH CARDINALITY  MISSING  UNIFORM 

Distinct20269
Distinct (%)99.4%
Missing24978
Missing (%)55.0%
Memory size709.0 KiB
Based on a true story.
 
7
Trust no one.
 
4
Be careful what you wish for.
 
4
-
 
4
How far would you go?
 
3
Other values (20264)
20376 

Length

Max length297
Median length204
Mean length46.999314
Min length1

Characters and Unicode

Total characters958692
Distinct characters170
Distinct categories17 ?
Distinct scripts6 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20163 ?
Unique (%)98.8%

Sample

1st rowRoll the dice and unleash the excitement!
2nd rowStill Yelling. Still Fighting. Still Ready for Love.
3rd rowFriends are the people who let you be yourself... and never let you forget it.
4th rowJust When His World Is Back To Normal... He's In For The Surprise Of His Life!
5th rowA Los Angeles Crime Saga

Common Values

ValueCountFrequency (%)
Based on a true story. 7
 
< 0.1%
Trust no one. 4
 
< 0.1%
Be careful what you wish for. 4
 
< 0.1%
- 4
 
< 0.1%
How far would you go? 3
 
< 0.1%
Drama 3
 
< 0.1%
Classic Albums 3
 
< 0.1%
There are two sides to every love story. 3
 
< 0.1%
There is no turning back 3
 
< 0.1%
Documentary 3
 
< 0.1%
Other values (20259) 20361
44.9%
(Missing) 24978
55.0%

Length

2023-05-15T19:43:12.485597image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the 10998
 
6.3%
a 6815
 
3.9%
of 4404
 
2.5%
to 3584
 
2.1%
is 2796
 
1.6%
in 2693
 
1.5%
and 2682
 
1.5%
you 2389
 
1.4%
1582
 
0.9%
for 1523
 
0.9%
Other values (15100) 134470
77.3%

Most occurring characters

ValueCountFrequency (%)
153686
16.0%
e 94412
 
9.8%
t 57267
 
6.0%
o 56566
 
5.9%
a 51473
 
5.4%
n 47498
 
5.0%
i 46036
 
4.8%
r 44992
 
4.7%
s 42360
 
4.4%
h 37172
 
3.9%
Other values (160) 327230
34.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 680479
71.0%
Space Separator 153686
 
16.0%
Uppercase Letter 74991
 
7.8%
Other Punctuation 44585
 
4.7%
Decimal Number 2687
 
0.3%
Dash Punctuation 1944
 
0.2%
Final Punctuation 98
 
< 0.1%
Open Punctuation 56
 
< 0.1%
Close Punctuation 55
 
< 0.1%
Currency Symbol 37
 
< 0.1%
Other values (7) 74
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 94412
13.9%
t 57267
 
8.4%
o 56566
 
8.3%
a 51473
 
7.6%
n 47498
 
7.0%
i 46036
 
6.8%
r 44992
 
6.6%
s 42360
 
6.2%
h 37172
 
5.5%
l 30174
 
4.4%
Other values (43) 172529
25.4%
Other Letter
ValueCountFrequency (%)
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
Other values (24) 24
70.6%
Uppercase Letter
ValueCountFrequency (%)
T 10009
 
13.3%
A 6874
 
9.2%
S 5652
 
7.5%
H 4402
 
5.9%
I 4387
 
5.9%
E 4306
 
5.7%
W 3681
 
4.9%
O 3477
 
4.6%
N 3195
 
4.3%
L 3194
 
4.3%
Other values (20) 25814
34.4%
Other Punctuation
ValueCountFrequency (%)
. 26647
59.8%
! 5784
 
13.0%
' 5674
 
12.7%
, 4226
 
9.5%
? 1161
 
2.6%
" 582
 
1.3%
148
 
0.3%
: 138
 
0.3%
& 83
 
0.2%
* 42
 
0.1%
Other values (7) 100
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 802
29.8%
1 516
19.2%
2 299
 
11.1%
3 208
 
7.7%
9 208
 
7.7%
5 168
 
6.3%
4 140
 
5.2%
6 121
 
4.5%
7 121
 
4.5%
8 104
 
3.9%
Math Symbol
ValueCountFrequency (%)
+ 5
35.7%
= 5
35.7%
| 2
 
14.3%
~ 1
 
7.1%
1
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 1927
99.1%
9
 
0.5%
8
 
0.4%
Final Punctuation
ValueCountFrequency (%)
82
83.7%
15
 
15.3%
» 1
 
1.0%
Initial Punctuation
ValueCountFrequency (%)
14
73.7%
4
 
21.1%
« 1
 
5.3%
Open Punctuation
ValueCountFrequency (%)
( 49
87.5%
[ 7
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 48
87.3%
] 7
 
12.7%
Other Number
ValueCountFrequency (%)
½ 2
66.7%
² 1
33.3%
Modifier Letter
ValueCountFrequency (%)
ˌ 1
50.0%
ˈ 1
50.0%
Space Separator
ValueCountFrequency (%)
153686
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 37
100.0%
Nonspacing Mark
ValueCountFrequency (%)
1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 755470
78.8%
Common 203187
 
21.2%
Han 21
 
< 0.1%
Tamil 5
 
< 0.1%
Hiragana 5
 
< 0.1%
Katakana 4
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 94412
 
12.5%
t 57267
 
7.6%
o 56566
 
7.5%
a 51473
 
6.8%
n 47498
 
6.3%
i 46036
 
6.1%
r 44992
 
6.0%
s 42360
 
5.6%
h 37172
 
4.9%
l 30174
 
4.0%
Other values (73) 247520
32.8%
Common
ValueCountFrequency (%)
153686
75.6%
. 26647
 
13.1%
! 5784
 
2.8%
' 5674
 
2.8%
, 4226
 
2.1%
- 1927
 
0.9%
? 1161
 
0.6%
0 802
 
0.4%
" 582
 
0.3%
1 516
 
0.3%
Other values (42) 2182
 
1.1%
Han
ValueCountFrequency (%)
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
Other values (11) 11
52.4%
Tamil
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Hiragana
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Katakana
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 958262
> 99.9%
Punctuation 280
 
< 0.1%
None 110
 
< 0.1%
CJK 21
 
< 0.1%
Tamil 5
 
< 0.1%
Hiragana 5
 
< 0.1%
Katakana 4
 
< 0.1%
IPA Ext 2
 
< 0.1%
Modifier Letters 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153686
16.0%
e 94412
 
9.9%
t 57267
 
6.0%
o 56566
 
5.9%
a 51473
 
5.4%
n 47498
 
5.0%
i 46036
 
4.8%
r 44992
 
4.7%
s 42360
 
4.4%
h 37172
 
3.9%
Other values (78) 326800
34.1%
Punctuation
ValueCountFrequency (%)
148
52.9%
82
29.3%
15
 
5.4%
14
 
5.0%
9
 
3.2%
8
 
2.9%
4
 
1.4%
None
ValueCountFrequency (%)
é 18
16.4%
ä 16
14.5%
ö 8
 
7.3%
á 6
 
5.5%
ó 6
 
5.5%
ü 5
 
4.5%
í 5
 
4.5%
ı 5
 
4.5%
· 4
 
3.6%
ć 3
 
2.7%
Other values (26) 34
30.9%
IPA Ext
ValueCountFrequency (%)
ə 2
100.0%
Tamil
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
CJK
ValueCountFrequency (%)
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
Other values (11) 11
52.4%
Katakana
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Modifier Letters
ValueCountFrequency (%)
ˌ 1
50.0%
ˈ 1
50.0%
Hiragana
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Math Operators
ValueCountFrequency (%)
1
100.0%

title
Categorical

HIGH CARDINALITY  UNIFORM 

Distinct42196
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size709.0 KiB
Cinderella
 
11
Alice in Wonderland
 
9
Hamlet
 
9
Les Misérables
 
8
Beauty and the Beast
 
8
Other values (42191)
45331 

Length

Max length105
Median length79
Mean length16.701781
Min length1

Characters and Unicode

Total characters757860
Distinct characters287
Distinct categories17 ?
Distinct scripts7 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39869 ?
Unique (%)87.9%

Sample

1st rowToy Story
2nd rowJumanji
3rd rowGrumpier Old Men
4th rowWaiting to Exhale
5th rowFather of the Bride Part II

Common Values

ValueCountFrequency (%)
Cinderella 11
 
< 0.1%
Alice in Wonderland 9
 
< 0.1%
Hamlet 9
 
< 0.1%
Les Misérables 8
 
< 0.1%
Beauty and the Beast 8
 
< 0.1%
The Three Musketeers 7
 
< 0.1%
Blackout 7
 
< 0.1%
Treasure Island 7
 
< 0.1%
A Christmas Carol 7
 
< 0.1%
The Journey 6
 
< 0.1%
Other values (42186) 45297
99.8%

Length

2023-05-15T19:43:12.850622image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the 14555
 
10.7%
of 4930
 
3.6%
a 2241
 
1.6%
in 1693
 
1.2%
and 1631
 
1.2%
to 1054
 
0.8%
757
 
0.6%
man 665
 
0.5%
love 664
 
0.5%
for 601
 
0.4%
Other values (24353) 107390
78.9%

Most occurring characters

ValueCountFrequency (%)
90827
 
12.0%
e 76251
 
10.1%
a 48940
 
6.5%
o 45671
 
6.0%
n 40817
 
5.4%
r 40018
 
5.3%
i 39764
 
5.2%
t 36722
 
4.8%
s 29519
 
3.9%
h 28516
 
3.8%
Other values (277) 280815
37.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 534134
70.5%
Uppercase Letter 117265
 
15.5%
Space Separator 90827
 
12.0%
Other Punctuation 10489
 
1.4%
Decimal Number 3850
 
0.5%
Dash Punctuation 981
 
0.1%
Close Punctuation 87
 
< 0.1%
Open Punctuation 85
 
< 0.1%
Final Punctuation 38
 
< 0.1%
Other Letter 25
 
< 0.1%
Other values (7) 79
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 76251
14.3%
a 48940
9.2%
o 45671
 
8.6%
n 40817
 
7.6%
r 40018
 
7.5%
i 39764
 
7.4%
t 36722
 
6.9%
s 29519
 
5.5%
h 28516
 
5.3%
l 25924
 
4.9%
Other values (121) 121992
22.8%
Uppercase Letter
ValueCountFrequency (%)
T 16019
13.7%
S 10336
 
8.8%
M 8031
 
6.8%
B 7659
 
6.5%
C 7165
 
6.1%
A 6785
 
5.8%
D 6335
 
5.4%
L 5872
 
5.0%
H 5170
 
4.4%
W 5166
 
4.4%
Other values (65) 38727
33.0%
Other Letter
ValueCountFrequency (%)
چ 2
 
8.0%
ه 2
 
8.0%
ی 2
 
8.0%
ک 2
 
8.0%
1
 
4.0%
1
 
4.0%
1
 
4.0%
1
 
4.0%
1
 
4.0%
ª 1
 
4.0%
Other values (11) 11
44.0%
Other Punctuation
ValueCountFrequency (%)
: 3717
35.4%
' 2505
23.9%
. 1603
15.3%
, 1134
 
10.8%
! 647
 
6.2%
& 458
 
4.4%
? 269
 
2.6%
/ 79
 
0.8%
* 19
 
0.2%
# 13
 
0.1%
Other values (8) 45
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 861
22.4%
1 697
18.1%
0 616
16.0%
3 482
12.5%
9 230
 
6.0%
4 229
 
5.9%
5 225
 
5.8%
7 193
 
5.0%
8 161
 
4.2%
6 156
 
4.1%
Math Symbol
ValueCountFrequency (%)
+ 17
70.8%
× 3
 
12.5%
1
 
4.2%
= 1
 
4.2%
1
 
4.2%
1
 
4.2%
Other Number
ValueCountFrequency (%)
½ 12
63.2%
² 3
 
15.8%
³ 2
 
10.5%
1
 
5.3%
1
 
5.3%
Other Symbol
ValueCountFrequency (%)
° 3
37.5%
2
25.0%
1
 
12.5%
1
 
12.5%
1
 
12.5%
Currency Symbol
ValueCountFrequency (%)
$ 18
85.7%
¢ 2
 
9.5%
£ 1
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 966
98.5%
15
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 82
94.3%
] 5
 
5.7%
Open Punctuation
ValueCountFrequency (%)
( 80
94.1%
[ 5
 
5.9%
Final Punctuation
ValueCountFrequency (%)
37
97.4%
1
 
2.6%
Initial Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
90827
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Format
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 650884
85.9%
Common 106436
 
14.0%
Cyrillic 346
 
< 0.1%
Greek 170
 
< 0.1%
Arabic 11
 
< 0.1%
Katakana 8
 
< 0.1%
Han 5
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 76251
 
11.7%
a 48940
 
7.5%
o 45671
 
7.0%
n 40817
 
6.3%
r 40018
 
6.1%
i 39764
 
6.1%
t 36722
 
5.6%
s 29519
 
4.5%
h 28516
 
4.4%
l 25924
 
4.0%
Other values (107) 238742
36.7%
Common
ValueCountFrequency (%)
90827
85.3%
: 3717
 
3.5%
' 2505
 
2.4%
. 1603
 
1.5%
, 1134
 
1.1%
- 966
 
0.9%
2 861
 
0.8%
1 697
 
0.7%
! 647
 
0.6%
0 616
 
0.6%
Other values (50) 2863
 
2.7%
Cyrillic
ValueCountFrequency (%)
е 32
 
9.2%
о 32
 
9.2%
а 29
 
8.4%
н 24
 
6.9%
и 23
 
6.6%
р 22
 
6.4%
к 17
 
4.9%
с 15
 
4.3%
л 14
 
4.0%
в 14
 
4.0%
Other values (38) 124
35.8%
Greek
ValueCountFrequency (%)
α 20
 
11.8%
ι 14
 
8.2%
ο 14
 
8.2%
τ 9
 
5.3%
ά 8
 
4.7%
λ 8
 
4.7%
ρ 8
 
4.7%
ν 7
 
4.1%
ε 6
 
3.5%
ς 6
 
3.5%
Other values (32) 70
41.2%
Katakana
ValueCountFrequency (%)
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Arabic
ValueCountFrequency (%)
چ 2
18.2%
ه 2
18.2%
ی 2
18.2%
ک 2
18.2%
س 1
9.1%
ا 1
9.1%
ج 1
9.1%
Han
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 756295
99.8%
None 1124
 
0.1%
Cyrillic 346
 
< 0.1%
Punctuation 62
 
< 0.1%
Arabic 11
 
< 0.1%
Katakana 8
 
< 0.1%
CJK 5
 
< 0.1%
Misc Symbols 3
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
Math Operators 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90827
 
12.0%
e 76251
 
10.1%
a 48940
 
6.5%
o 45671
 
6.0%
n 40817
 
5.4%
r 40018
 
5.3%
i 39764
 
5.3%
t 36722
 
4.9%
s 29519
 
3.9%
h 28516
 
3.8%
Other values (76) 279250
36.9%
None
ValueCountFrequency (%)
é 218
19.4%
ä 127
 
11.3%
ö 55
 
4.9%
è 53
 
4.7%
ô 44
 
3.9%
ü 39
 
3.5%
ó 37
 
3.3%
á 35
 
3.1%
ı 35
 
3.1%
í 33
 
2.9%
Other values (108) 448
39.9%
Punctuation
ValueCountFrequency (%)
37
59.7%
15
24.2%
5
 
8.1%
2
 
3.2%
1
 
1.6%
1
 
1.6%
1
 
1.6%
Cyrillic
ValueCountFrequency (%)
е 32
 
9.2%
о 32
 
9.2%
а 29
 
8.4%
н 24
 
6.9%
и 23
 
6.6%
р 22
 
6.4%
к 17
 
4.9%
с 15
 
4.3%
л 14
 
4.0%
в 14
 
4.0%
Other values (38) 124
35.8%
Arabic
ValueCountFrequency (%)
چ 2
18.2%
ه 2
18.2%
ی 2
18.2%
ک 2
18.2%
س 1
9.1%
ا 1
9.1%
ج 1
9.1%
Misc Symbols
ValueCountFrequency (%)
2
66.7%
1
33.3%
CJK
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
50.0%
1
50.0%
Math Operators
ValueCountFrequency (%)
1
50.0%
1
50.0%
Katakana
ValueCountFrequency (%)
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Arrows
ValueCountFrequency (%)
1
100.0%

vote_average
Real number (ℝ)

Distinct92
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.62407
Minimum0
Maximum10
Zeros2947
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size709.0 KiB
2023-05-15T19:43:13.310672image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median6
Q36.8
95-th percentile7.8
Maximum10
Range10
Interquartile range (IQR)1.8

Descriptive statistics

Standard deviation1.9154225
Coefficient of variation (CV)0.34057587
Kurtosis2.5420547
Mean5.62407
Median Absolute Deviation (MAD)0.9
Skewness-1.524472
Sum255197.8
Variance3.6688434
MonotonicityNot monotonic
2023-05-15T19:43:13.646697image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2947
 
6.5%
6 2462
 
5.4%
5 1998
 
4.4%
7 1883
 
4.1%
6.5 1722
 
3.8%
6.3 1603
 
3.5%
5.5 1381
 
3.0%
5.8 1369
 
3.0%
6.4 1350
 
3.0%
6.7 1342
 
3.0%
Other values (82) 27319
60.2%
ValueCountFrequency (%)
0 2947
6.5%
0.5 13
 
< 0.1%
0.7 1
 
< 0.1%
1 103
 
0.2%
1.1 1
 
< 0.1%
1.2 4
 
< 0.1%
1.3 13
 
< 0.1%
1.4 5
 
< 0.1%
1.5 30
 
0.1%
1.6 6
 
< 0.1%
ValueCountFrequency (%)
10 185
0.4%
9.8 1
 
< 0.1%
9.6 1
 
< 0.1%
9.5 18
 
< 0.1%
9.4 3
 
< 0.1%
9.3 18
 
< 0.1%
9.2 4
 
< 0.1%
9.1 2
 
< 0.1%
9 158
0.3%
8.9 7
 
< 0.1%

release_year
Real number (ℝ)

Distinct135
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1991.8812
Minimum1874
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size709.0 KiB
2023-05-15T19:43:13.987729image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1874
5-th percentile1941
Q11978
median2001
Q32010
95-th percentile2015
Maximum2020
Range146
Interquartile range (IQR)32

Descriptive statistics

Standard deviation24.05536
Coefficient of variation (CV)0.012076704
Kurtosis0.84010576
Mean1991.8812
Median Absolute Deviation (MAD)12
Skewness-1.2248636
Sum90383601
Variance578.66033
MonotonicityNot monotonic
2023-05-15T19:43:14.339756image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2014 1974
 
4.4%
2015 1905
 
4.2%
2013 1889
 
4.2%
2012 1722
 
3.8%
2011 1667
 
3.7%
2016 1604
 
3.5%
2009 1586
 
3.5%
2010 1501
 
3.3%
2008 1473
 
3.2%
2007 1320
 
2.9%
Other values (125) 28735
63.3%
ValueCountFrequency (%)
1874 1
 
< 0.1%
1878 1
 
< 0.1%
1883 1
 
< 0.1%
1887 1
 
< 0.1%
1888 2
 
< 0.1%
1890 5
 
< 0.1%
1891 6
< 0.1%
1892 3
 
< 0.1%
1893 1
 
< 0.1%
1894 13
< 0.1%
ValueCountFrequency (%)
2020 1
 
< 0.1%
2018 5
 
< 0.1%
2017 532
 
1.2%
2016 1604
3.5%
2015 1905
4.2%
2014 1974
4.4%
2013 1889
4.2%
2012 1722
3.8%
2011 1667
3.7%
2010 1501
3.3%

return
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct5232
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean660.04278
Minimum0
Maximum12396383
Zeros39995
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size709.0 KiB
2023-05-15T19:43:14.766792image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.5355363
Maximum12396383
Range12396383
Interquartile range (IQR)0

Descriptive statistics

Standard deviation74693.294
Coefficient of variation (CV)113.16432
Kurtosis20672.957
Mean660.04278
Median Absolute Deviation (MAD)0
Skewness138.32953
Sum29950101
Variance5.5790882 × 109
MonotonicityNot monotonic
2023-05-15T19:43:15.251827image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39995
88.1%
1 20
 
< 0.1%
2 12
 
< 0.1%
4 11
 
< 0.1%
5 8
 
< 0.1%
3 7
 
< 0.1%
2.5 7
 
< 0.1%
1.333333333 7
 
< 0.1%
1.5 6
 
< 0.1%
7 4
 
< 0.1%
Other values (5222) 5299
 
11.7%
ValueCountFrequency (%)
0 39995
88.1%
5.217391304 × 10-71
 
< 0.1%
7.5 × 10-71
 
< 0.1%
9.375 × 10-71
 
< 0.1%
1.499133126 × 10-61
 
< 0.1%
1.8 × 10-61
 
< 0.1%
1.916666667 × 10-61
 
< 0.1%
3.5 × 10-61
 
< 0.1%
4 × 10-61
 
< 0.1%
5.111111111 × 10-61
 
< 0.1%
ValueCountFrequency (%)
12396383 1
< 0.1%
8500000 1
< 0.1%
4197476.625 1
< 0.1%
2755584 1
< 0.1%
1018619.283 1
< 0.1%
1000000 1
< 0.1%
26881.72043 1
< 0.1%
12890.38667 1
< 0.1%
5330.33945 1
< 0.1%
4133.333333 1
< 0.1%

Interactions

2023-05-15T19:42:58.250863image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:40.021727image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:42.997257image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:45.636238image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
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2023-05-15T19:42:56.198911image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:58.938925image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:40.936873image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
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2023-05-15T19:42:41.626927image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
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2023-05-15T19:42:46.903934image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:49.029049image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:51.460261image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:54.104465image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:57.024592image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:59.776982image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:41.949172image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:44.654167image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:47.147951image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:49.354068image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:51.715280image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:54.432244image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:57.340615image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:43:00.060000image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:42.261199image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:44.958194image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:47.376968image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:49.687121image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:52.028308image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:54.769266image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:57.639812image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:43:00.378881image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:42.649227image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:45.325219image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
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2023-05-15T19:42:49.995145image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:52.369331image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:55.600865image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-05-15T19:42:57.937835image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Correlations

2023-05-15T19:43:15.597860image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
budgetidpopularityrevenueruntimevote_averagerelease_yearreturnoriginal_languagestatus
budget1.000-0.2550.4630.6440.2270.0720.1410.7750.0000.000
id-0.2551.000-0.410-0.278-0.205-0.1490.392-0.2620.0710.056
popularity0.463-0.4101.0000.4910.3070.2410.1860.4470.0000.000
revenue0.644-0.2780.4911.0000.2540.1270.1040.8530.0000.000
runtime0.227-0.2050.3070.2541.0000.1930.0340.2340.1110.000
vote_average0.072-0.1490.2410.1270.1931.000-0.0090.1200.0700.019
release_year0.1410.3920.1860.1040.034-0.0091.0000.0870.1440.028
return0.775-0.2620.4470.8530.2340.1200.0871.0000.0000.000
original_language0.0000.0710.0000.0000.1110.0700.1440.0001.0000.000
status0.0000.0560.0000.0000.0000.0190.0280.0000.0001.000

Missing values

2023-05-15T19:43:00.955305image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-05-15T19:43:02.058398image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-05-15T19:43:03.344777image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

belongs_to_collectionbudgetgenresidoriginal_languageoverviewpopularityproduction_companiesproduction_countriesrelease_daterevenueruntimespoken_languagesstatustaglinetitlevote_averagerelease_yearreturn
0Toy Story Collection30000000Animation, Comedy, Family862enLed by Woody, Andy's toys live happily in his room until Andy's birthday brings Buzz Lightyear onto the scene. Afraid of losing his place in Andy's heart, Woody plots against Buzz. But when circumstances separate Buzz and Woody from their owner, the duo eventually learns to put aside their differences.21.946943Pixar Animation StudiosUnited States of America1995-10-30373554033.081.0EnglishReleasedNaNToy Story7.7199512.451801
165000000Adventure, Fantasy, Family8844enWhen siblings Judy and Peter discover an enchanted board game that opens the door to a magical world, they unwittingly invite Alan -- an adult who's been trapped inside the game for 26 years -- into their living room. Alan's only hope for freedom is to finish the game, which proves risky as all three find themselves running from giant rhinoceroses, evil monkeys and other terrifying creatures.17.015539TriStar Pictures, Teitler Film, Interscope CommunicationsUnited States of America1995-12-15262797249.0104.0English, FrançaisReleasedRoll the dice and unleash the excitement!Jumanji6.919954.043035
2Grumpy Old Men Collection0Romance, Comedy15602enA family wedding reignites the ancient feud between next-door neighbors and fishing buddies John and Max. Meanwhile, a sultry Italian divorcée opens a restaurant at the local bait shop, alarming the locals who worry she'll scare the fish away. But she's less interested in seafood than she is in cooking up a hot time with Max.11.712900Warner Bros., Lancaster GateUnited States of America1995-12-220.0101.0EnglishReleasedStill Yelling. Still Fighting. Still Ready for Love.Grumpier Old Men6.519950.000000
316000000Comedy, Drama, Romance31357enCheated on, mistreated and stepped on, the women are holding their breath, waiting for the elusive "good man" to break a string of less-than-stellar lovers. Friends and confidants Vannah, Bernie, Glo and Robin talk it all out, determined to find a better way to breathe.3.859495Twentieth Century Fox Film CorporationUnited States of America1995-12-2281452156.0127.0EnglishReleasedFriends are the people who let you be yourself... and never let you forget it.Waiting to Exhale6.119955.090760
4Father of the Bride Collection0Comedy11862enJust when George Banks has recovered from his daughter's wedding, he receives the news that she's pregnant ... and that George's wife, Nina, is expecting too. He was planning on selling their home, but that's a plan that -- like George -- will have to change with the arrival of both a grandchild and a kid of his own.8.387519Sandollar Productions, Touchstone PicturesUnited States of America1995-02-1076578911.0106.0EnglishReleasedJust When His World Is Back To Normal... He's In For The Surprise Of His Life!Father of the Bride Part II5.719950.000000
560000000Action, Crime, Drama, Thriller949enObsessive master thief, Neil McCauley leads a top-notch crew on various insane heists throughout Los Angeles while a mentally unstable detective, Vincent Hanna pursues him without rest. Each man recognizes and respects the ability and the dedication of the other even though they are aware their cat-and-mouse game may end in violence.17.924927Regency Enterprises, Forward Pass, Warner Bros.United States of America1995-12-15187436818.0170.0English, EspañolReleasedA Los Angeles Crime SagaHeat7.719953.123947
658000000Comedy, Romance11860enAn ugly duckling having undergone a remarkable change, still harbors feelings for her crush: a carefree playboy, but not before his business-focused brother has something to say about it.6.677277Paramount Pictures, Scott Rudin Productions, Mirage Enterprises, Sandollar Productions, Constellation Entertainment, Worldwide, Mont Blanc Entertainment GmbHGermany, United States of America1995-12-150.0127.0Français, EnglishReleasedYou are cordially invited to the most surprising merger of the year.Sabrina6.219950.000000
70Action, Adventure, Drama, Family45325enA mischievous young boy, Tom Sawyer, witnesses a murder by the deadly Injun Joe. Tom becomes friends with Huckleberry Finn, a boy with no future and no family. Tom has to choose between honoring a friendship or honoring an oath because the town alcoholic is accused of the murder. Tom and Huck go through several adventures trying to retrieve evidence.2.561161Walt Disney PicturesUnited States of America1995-12-220.097.0English, DeutschReleasedThe Original Bad Boys.Tom and Huck5.419950.000000
835000000Action, Adventure, Thriller9091enInternational action superstar Jean Claude Van Damme teams with Powers Boothe in a Tension-packed, suspense thriller, set against the back-drop of a Stanley Cup game.Van Damme portrays a father whose daughter is suddenly taken during a championship hockey game. With the captors demanding a billion dollars by game's end, Van Damme frantically sets a plan in motion to rescue his daughter and abort an impending explosion before the final buzzer...5.231580Universal Pictures, Imperial Entertainment, Signature EntertainmentUnited States of America1995-12-2264350171.0106.0EnglishReleasedTerror goes into overtime.Sudden Death5.519951.838576
9James Bond Collection58000000Adventure, Action, Thriller710enJames Bond must unmask the mysterious head of the Janus Syndicate and prevent the leader from utilizing the GoldenEye weapons system to inflict devastating revenge on Britain.14.686036United Artists, Eon ProductionsUnited Kingdom, United States of America1995-11-16352194034.0130.0English, Pусский, EspañolReleasedNo limits. No fears. No substitutes.GoldenEye6.619956.072311
belongs_to_collectionbudgetgenresidoriginal_languageoverviewpopularityproduction_companiesproduction_countriesrelease_daterevenueruntimespoken_languagesstatustaglinetitlevote_averagerelease_yearreturn
45455067179itSentenced to life imprisonment for illegal activities, Italian International member Giulio Manieri holds on to his political ideals while struggling against madness in the loneliness of his prison cell.0.2250511972-01-010.090.0ItalianoReleasedNaNSt. Michael Had a Rooster6.019720.0
454560Horror, Mystery, Thriller84419enAn unsuccessful sculptor saves a madman named "The Creeper" from drowning. Seeing an opportunity for revenge, he tricks the psycho into murdering his critics.0.222814Universal PicturesUnited States of America1946-03-290.065.0EnglishReleasedMeet...The CREEPER!House of Horrors6.319460.0
454570Mystery, Horror390959enIn this true-crime documentary, we delve into the murder spree that was the inspiration for Joe Berlinger's "Book of Shadows: Blair Witch 2".0.0760612000-10-220.045.0EnglishReleasedNaNShadow of the Blair Witch7.020000.0
454580Horror289923enA film archivist revisits the story of Rustin Parr, a hermit thought to have murdered seven children while under the possession of the Blair Witch.0.386450Neptune Salad Entertainment, Pirie ProductionsUnited States of America2000-10-030.030.0EnglishReleasedDo you know what happened 50 years before "The Blair Witch Project"?The Burkittsville 77.020000.0
454590Science Fiction222848enIt's the year 3000 AD. The world's most dangerous women are banished to a remote asteroid 45 million light years from earth. Kira Murphy doesn't belong; wrongfully accused of a crime she did not commit, she's thrown in this interplanetary prison and left to her own defenses. But Kira's a fighter, and soon she finds herself in the middle of a female gang war; where everyone wants a piece of the action... and a piece of her! "Caged Heat 3000" takes the Women-in-Prison genre to a whole new level... and a whole new galaxy!0.661558Concorde-New HorizonsUnited States of America1995-01-010.085.0EnglishReleasedNaNCaged Heat 30003.519950.0
454600Drama, Action, Romance30840enYet another version of the classic epic, with enough variation to make it interesting. The story is the same, but some of the characters are quite different from the usual, in particular Uma Thurman's very special maid Marian. The photography is also great, giving the story a somewhat darker tone.5.683753Westdeutscher Rundfunk (WDR), Working Title Films, 20th Century Fox Television, CanWest Global CommunicationsCanada, Germany, United Kingdom, United States of America1991-05-130.0104.0EnglishReleasedNaNRobin Hood5.719910.0
454620Drama111109tlAn artist struggles to finish his work while a storyline about a cult plays in his head.0.178241Sine OliviaPhilippines2011-11-170.0360.0ReleasedNaNCentury of Birthing9.020110.0
454630Action, Drama, Thriller67758enWhen one of her hits goes wrong, a professional assassin ends up with a suitcase full of a million dollars belonging to a mob boss ...0.903007American World PicturesUnited States of America2003-08-010.090.0EnglishReleasedA deadly game of wits.Betrayal3.820030.0
454640227506enIn a small town live two brothers, one a minister and the other one a hunchback painter of the chapel who lives with his wife. One dreadful and stormy night, a stranger knocks at the door asking for shelter. The stranger talks about all the good things of the earthly life the minister is missing because of his puritanical faith. The minister comes to accept the stranger's viewpoint but it is others who will pay the consequences because the minister will discover the human pleasures thanks to, ehem, his sister- in -law… The tormented minister and his cuckolded brother will die in a strange accident in the chapel and later an infant will be born from the minister's adulterous relationship.0.003503YermolievRussia1917-10-210.087.0ReleasedNaNSatan Triumphant0.019170.0
454650461257en50 years after decriminalisation of homosexuality in the UK, director Daisy Asquith mines the jewels of the BFI archive to take us into the relationships, desires, fears and expressions of gay men and women in the 20th century.0.163015United Kingdom2017-06-090.075.0EnglishReleasedNaNQueerama0.020170.0

Duplicate rows

Most frequently occurring

belongs_to_collectionbudgetgenresidoriginal_languageoverviewpopularityproduction_companiesproduction_countriesrelease_daterevenueruntimespoken_languagesstatustaglinetitlevote_averagerelease_yearreturn# duplicates
140Thriller, Mystery141971fiRecovering from a nail gun shot to the head and 13 months of coma, doctor Pekka Valinta starts to unravel the mystery of his past, still suffering from total amnesia.0.411949Filmiteollisuus FineFinland2008-12-260.0108.0suomiReleasedWhich one is the first to return - memory or the murderer?Blackout6.720080.03
00Action, Drama, Romance, Adventure99080enOriginally called White Thunder, American producer Varick Frissell's 1931 film was inspired by his love for the Canadian Arctic Circle. Set in a beautifully black-and-white filmed Newfoundland, it is the story of a rivalry between two seal hunters that plays out on the ice floes during a hunt. Unsatisfied with the first cut, Frissell arranged for the crew to accompany an actual Newfoundland seal hunt on The SS Viking, on which an explosion of dynamite (carried regularly at the time on Arctic ships to combat ice jams) killed many members of the crew, including Frissell. The film was renamed in honor of the dead.0.0023621931-06-210.070.0EnglishReleasedActually produced during the Great Newfoundland Seal Hunt and You see the REAL thingThe Viking0.019310.02
10Action, Horror, Science Fiction18440enWhen a comet strikes Earth and kicks up a cloud of toxic dust, hundreds of humans join the ranks of the living dead. But there's bad news for the survivors: The newly minted zombies are hell-bent on eradicating every last person from the planet. For the few human beings who remain, going head to head with the flesh-eating fiends is their only chance for long-term survival. Yet their battle will be dark and cold, with overwhelming odds.1.436085United States of America2007-01-010.089.0EnglishReleasedNaNDays of Darkness5.020070.02
20Adventure, Animation, Drama, Action, Foreign23305enIn feudal India, a warrior (Khan) who renounces his role as the longtime enforcer to a local lord becomes the prey in a murderous hunt through the Himalayan mountains.1.967992FilmfourFrance, Germany, India, United Kingdom2001-09-230.086.0हिन्दीReleasedNaNThe Warrior6.320010.02
30Comedy97995enAfter breaking a mirror in his home, superstitious Max tries to avoid situations which could bring bad luck but in doing so, causes himself the worst luck imaginable.0.141558Max Linder ProductionsUnited States of America1921-02-060.062.0EnglishReleasedNaNSeven Years Bad Luck5.619210.02
40Comedy, Drama11115enAs an ex-gambler teaches a hot-shot college kid some things about playing cards, he finds himself pulled into the world series of poker, where his protégé is his toughest competition.6.880365Andertainment Group, Crescent City Pictures, Tag EntertainmentUnited States of America2008-01-290.085.0EnglishReleasedNaNDeal5.220080.02
50Comedy, Drama265189svWhile holidaying in the French Alps, a Swedish family deals with acts of cowardliness as an avalanche breaks out.12.165685Motlys, Coproduction Office, Film i VästNorway, Sweden, France2014-08-151359497.0118.0Français, Norsk, svenska, EnglishReleasedNaNForce Majeure6.820140.02
60Crime, Drama, Thriller5511frHitman Jef Costello is a perfectionist who always carefully plans his murders and who never gets caught.9.091288Fida cinematografica, Compagnie Industrielle et Commerciale Cinématographique (CICC), TC Productions, FilmelFrance, Italy1967-10-2539481.0105.0FrançaisReleasedThere is no solitude greater than that of the SamuraiLe Samouraï7.919670.02
70Documentary159849enThe third film of Frank Capra's 'Why We Fight" propaganda film series, dealing with the Nazi conquest of Western Europe in 1940.0.473322United States of America1943-01-010.057.0EnglishReleasedNaNWhy We Fight: Divide and Conquer5.019430.02
80Drama25541daFormer Danish servicemen Lars and Jimmy are thrown together while training in a neo-Nazi group. Moving from hostility through grudging admiration to friendship and finally passion, events take a darker turn when their illicit relationship is uncovered.2.587911Sweden, Denmark2009-10-210.090.0DanskReleasedNaNBrotherhood7.120090.02